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Rainfall Prediction: A Comparative Study of Neural Network Architectures

  • Kaushik D. SardeshpandeEmail author
  • Vijaya R. Thool
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 755)

Abstract

Artificial neural networks have wide range of application, one of which is time series prediction. This paper represents a case study on time series prediction as an application of neural networks. The case study was done for the rainfall prediction using the local database in India. The results were obtained by the comparative study of neural network architectures like back propagation (BPNN), generalized regression (GRNN), and radial basis function (RBFNN).

Keywords

Artificial neural networks (ANN) Big data Time series prediction Rainfall prediction BPNN GRNN RBFNN 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Department of Instrumentation EngineeringSGGS Institute of Engineering and TechnologyNandedIndia

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